Data Intelligence Engineer

Location: Dublin College Park

37.5 hours per week (Mon–Fri, 09:00–17:00, flexible)

Competitive salary and benefits

Opening date: 14/04/2026

Closing date: midnight 27/04/2026

Introduction to role:

Based at the Alexion facility in Blanchardstown, Dublin, this Manufacturing Systems Data Intelligence Engineer role focuses on turning complex manufacturing data into clear, actionable insight. Using AVEVA PI System as the core platform, the role supports data collection, visualisation and analysis to drive informed decisions that improve product quality and operational performance. This position sits at the intersection of data engineering and regulated pharmaceutical manufacturing, contributing directly to digital transformation while supporting medicines for patients with rare diseases.

Accountabilities:

• Act as site expert and system owner for the AVEVA PI System, ensuring reliability, performance and GxP / 21 CFR Part 11 compliance
• Design, maintain and optimise manufacturing data acquisition from MES, DCS, BMS, IoT devices and OEM systems
• Build and manage data models, calculations and dashboards using PI Data Archive, Asset Framework and PI Vision
• Ensure data integrity through validation, quality monitoring and robust documentation
• Lead development of digital twin and advanced analytics capabilities, including predictive and prescriptive modelling
• Collaborate with Manufacturing, Quality, Engineering and IT to deliver data-driven solutions
• Provide user support, training and continuous improvement of data systems
• Support audits and inspections through compliant system management

Essential Skills & Experience:

• Degree in Engineering, Computer Science, Information Systems or similar
• Hands-on experience with AVEVA PI System in a regulated manufacturing environment
• Strong understanding of pharmaceutical manufacturing and data integrity principles
• Experience with MES, DCS, BMS or other manufacturing systems
• Knowledge of system integration (OPC, MQTT, REST APIs)
• SQL proficiency and working knowledge of Python or similar scripting languages

Desirable Skills & Experience:

• Experience with advanced analytics, machine learning or digital twins
• Familiarity with tools such as Power BI, Tableau, SIMCA, Seeq or Discoverant
• Cloud platforms (Azure / AWS) and Agile ways of working
• AVEVA PI certification

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

AstraZeneca offers an environment where work has clear purpose: improving the lives of people living with rare and devastating diseases. Colleagues connect closely to patients’ lived experiences and to each other, encouraged to share ideas that challenge current thinking and move science forward. Diversity of background and perspective is valued so that innovation can come from anywhere in the organisation. People are supported through meaningful development opportunities while contributing to communities where the company operates. Every day brings the chance to learn, collaborate and see the impact of collective effort on patients who need new options most.

If this opportunity resonates and you are ready to help shape the future of data-driven rare disease manufacturing, please submit your application now!

Date Posted

14-Apr-2026

Closing Date

27-Apr-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.